Marine Big Data
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Marine Big Data
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Author : Huang Dongmei
language : en
Publisher: World Scientific
Release Date : 2019-07-08
Marine Big Data written by Huang Dongmei and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-08 with Computers categories.
As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology.The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.
Marine Big Data
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Author : 黄冬梅
language : en
Publisher:
Release Date : 2020
Marine Big Data written by 黄冬梅 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.
Guide To Maritime Informatics
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Author : Alexander Artikis
language : en
Publisher: Springer Nature
Release Date : 2021-02-08
Guide To Maritime Informatics written by Alexander Artikis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
In the last 25 years, information systems have had a disruptive effect on society and business. Up until recently though, the majority of passengers and goods were transported by sea in many ways similar to the way they were at the turn of the previous century. Gradually, advanced information technologies are being introduced, in an attempt to make shipping safer, greener, more efficient, and transparent. The emerging field of Maritime Informatics studies the application of information technology and information systems to maritime transportation. Maritime Informatics can be considered as both a field of study and domain of application. As an application domain, it is the outlet of innovations originating from data science and artificial intelligence; as a field of study, it is positioned between computer science and marine engineering. This new field’s complexity lies within this duality because it is faced with disciplinary barriers yet demands a systemic, transdisciplinary approach. At present, there is a growing body of knowledge that remains undocumented in a single source or textbook designed to assist students and practitioners. This highly useful textbook/reference starts by introducing required knowledge, algorithmic approaches, and technical details, before presenting real-world applications. The aim is to present interested audiences with an overview of the main technological innovations having a disruptive effect on the maritime industry, as well as to discuss principal ideas, methods of operation and applications, and future developments. The material in this unique volume provides requisite core knowledge for undergraduate or postgraduate students, employing an analytical approach with numerous real-world examples and case studies.
Ocean Science Data
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Author : Giuseppe Manzella
language : en
Publisher: Elsevier
Release Date : 2021-10-02
Ocean Science Data written by Giuseppe Manzella and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-02 with Science categories.
Ocean Science Data: Collection, Management, Networking, and Services presents the evolution of ocean science, information, theories, and data services for oceanographers looking for a better understanding of big data. The book is divided into chapters organized under the following main issues: marine science, history and data archaeology, data services in ocean science, society-driven data, and coproduction and education. Throughout the book, particular emphasis is put on data products quality and big data management strategy; embracing tools enabling data discovery, data preparation, self-service data accessibility, collaborative semantic metadata management, data standardization, and stream processing engines. Ocean Science Data provides an opportunity to start a new roadmap for data management issues, to be used for future collaboration among disciplines. This will include a focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of data management organization. This book is written for ocean scientists at postgraduate level and above as well as marine scientists and climate change scientists. Presents a coherent overview of state-of-the-art research concerning ocean data Provides an in-depth discussion of how ocean data impact all scales of the planetary system Includes global case studies from experts in ocean data
Maritime Informatics
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Author : Mikael Lind
language : en
Publisher: Springer Nature
Release Date : 2020-11-14
Maritime Informatics written by Mikael Lind and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-14 with Computers categories.
This first book on Maritime Informatics describes the potential for Maritime Informatics to enhance the shipping industry. It examines how decision making in the industry can be improved by digital technology, and introduces the technology required to make Maritime Informatics a distinct and valuable discipline. Based on participating in EU funded research over the last six years to improve the shipping industry, the editors stipulate that there is a need for the new discipline of Maritime Informatics, which studies the application of information systems to increasing the efficiency, safety, and ecological sustainability of the world’s shipping industry. This book examines competition and collaboration between shipping companies, and also companies who serve shipping needs, such as ports and terminals. Practical examples from leading experts give the reader real world examples for better understanding.
Spatiotemporal Modeling And Analysis In Marine Science
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Author : Junyu He
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-29
Spatiotemporal Modeling And Analysis In Marine Science written by Junyu He and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Science categories.
With the development of earth observation technologies (such as satellite remote sensing, unmanned aerial vehicle, autonomous underwater vehicle, etc.), an era of big data with important and non-negligible spatial/temporal attributes comes. Novel and rigorous spatiotemporal methodologies and models are needed to process and analyze marine big data. Since many marine environmental processes, such as pollutants diffusion, algae distributions etc., vary or evolve across spatiotemporal domains, detecting the distributions and patterns of marine fauna and, particularly in the coastal regions, will improve our understanding of marine systems and can be beneficial in marine environmental management. The goals of this Research Topic, therefore, are two-fold: (a) to develop methodologies and models in theory and applications, including spatiotemporal geostatistics, geographic information system, deep learning, etc.; (b) to quantitatively gain the knowledge of the marine environment. This Research Topic will provide a platform for researchers to share and exchange their new knowledge gained in a spatiotemporal domain of marine or coastal regions. This Research Topic will cover, but is not limited to, the following areas: • Spatiotemporal variations of physical/chemical/biological indicators (such as chlorophyll, temperature, salinity, colorful dissolved organic matter, suspended solids, nutrients, microplastic, etc.) in marine. • Spatiotemporal variations of potential fishing grounds in marine. • Spatiotemporal variations of the ecosystems in coastal regions, such as salt marshes, mangroves, seagrass, macroalgae, etc. • Spatiotemporal distributions of the pollutants (such as heavy metals, polycyclic aromatic hydrocarbon, etc.) in marine and sediments. • Spatiotemporal evolution pattern modeling and prediction of the marine disasters and abnormal phenomena (such as algal bloom, typhoons, SST anomalies, etc).
Data Tsunami
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Author :
language : en
Publisher:
Release Date : 2019
Data Tsunami written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Oceanographic And Marine Cross Domain Data Management For Sustainable Development
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Author : Diviacco, Paolo
language : en
Publisher: IGI Global
Release Date : 2016-09-23
Oceanographic And Marine Cross Domain Data Management For Sustainable Development written by Diviacco, Paolo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-23 with Science categories.
As human activity makes a greater impact on the environment, sustainability becomes an increasingly imperative goal. With the assistance of current technological innovations, environmental systems can be better preserved. Oceanographic and Marine Cross-Domain Data Management for Sustainable Development is a pivotal resource for the latest research on the collection of environmental data for sustainability initiatives and the associate challenges with this data acquisition. Highlighting various technological, scientific, semantic, and semiotic perspectives, this book is ideally designed for researchers, technology developers, practitioners, students, and professionals in the field of environmental science and technology.
Computation And Big Data For Transport
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Author : Pedro Diez
language : en
Publisher: Springer Nature
Release Date : 2020-02-28
Computation And Big Data For Transport written by Pedro Diez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Technology & Engineering categories.
This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges and prospects. Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics.
Advances In Artificial Intelligence Big Data And Algorithms
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Author : G. Grigoras
language : en
Publisher: IOS Press
Release Date : 2023-12-19
Advances In Artificial Intelligence Big Data And Algorithms written by G. Grigoras and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.
Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.